Palatal Rugae: A Potential Reference to Determine Key Anterior Maxilla Dimensions and Tooth Positions
Bibliographic record
Abstract
Bella Panjwani, DDS, MDS/Cheryl Cable, DDS, MBA/Carlos Flores-Mir, MSc/Kashyap Bhargava, MS: Palatal rugae have been suggested as a stable landmark and potential biometric guide for positioning anterior maxillary teeth. This study aimed to evaluate the use of palatal rugae as a biomarker by establishing mathematical correlations with anterior maxillary dental arch geometry and tooth positions. One hundred dental casts were obtained from fully dentate individuals with normal occlusal relationships. Thirteen reference points were analyzed. Significant correlations were found between measurements in the anterior dental segment and palatal rugae measurements. Those correlation coefficients were, however, low. Although some correlation values obtained were statistically significant, they are not likely to have significant clinical predictive value. Int J Prosthodont 2013;26:227Â229. doi: 10.11607/ijp.3167
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".